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MAS: A Corpus of Tweets for Marketing in Spanish [chapter]

María Navas-Loro, Víctor Rodríguez-Doncel, Idafen Santana-Pérez, Alba Fernández-Izquierdo, Alberto Sánchez
2018 Lecture Notes in Computer Science  
This paper presents a corpus of manually tagged tweets in Spanish language, of interest for marketing purposes.  ...  For every Twitter post, tags are provided to describe three different aspects of the text: the emotions, whether it makes a mention to an element of the marketing mix and the position of the tweet author  ...  We would also want to thank Pablo Calleja for his help in corpora statistics extraction.  ... 
doi:10.1007/978-3-319-98192-5_53 fatcat:kntkvfutvna37fbywrxgrfhc6i

TASS 2015 - The Evolution of the Spanish Opinion Mining Systems

Eugenio Martínez Cámara, Miguel A. García-Cumbreras, Julio Villena-Román, Janine García-Morera
2016 Revista de Procesamiento de Lenguaje Natural (SEPLN)  
Además de analizar brevemente los sistemas que se presentaron, se presenta un nuevo corpus de tweets etiquetados en el dominio político, que se desarrolló para la tarea de Análisis de Opiniones a nivel  ...  Acknowledgements This work has been partially supported by a grant from the Fondo Europeo de Desarrollo Regional (FEDER), REDES project (TIN2015-65136-C2-1-R) and Ciudad2020 (INNPRONTA IPT-20111006) from the Spanish  ...  The STOMPOL corpus (corpus of Spanish Tweets for Opinion Mining at aspect level about POLitics) is a corpus of Spanish tweets related to a political aspect that appear in the Spanish political campaign  ... 
dblp:journals/pdln/CamaraGVG16 fatcat:qfiybyukazfzra7bvrx444c4du

Analysis of Spotify Spanish spoken profiles in Twitter

Juan-José Boté Vericad
2022 Zenodo  
We suggest not unifying under a unique spoken Spanish version for the promotion of products and services in Spanish spoken countries.  ...  The analysis considers these Spanish linguistic variations. We perform a sentimental analysis of these Spanish-spoken profiles, looking for differences in Spanish variations.  ...  We provide in Table 2 an example of language detection from 10 tweets corresponding to @Spotify_AGR. Tweets that are not detected in Spanish could be for various reasons.  ... 
doi:10.5281/zenodo.6618902 fatcat:jrjlxoqlqnd2fjd47rhwcnjtnu

EmoEvent: A Multilingual Emotion Corpus based on different Events

Flor Miriam Plaza del Arco, Carlo Strapparava, Luis Alfonso Ureña López, María Teresa Martín Valdivia
2020 International Conference on Language Resources and Evaluation  
Moreover, in order to validate the effectiveness of the dataset, we also propose a machine learning approach for automatically detecting emotions in tweets for both languages, English and Spanish.  ...  A total of 8,409 in Spanish and 7,303 in English were labeled. In addition, each tweet was also labeled as offensive or non-offensive.  ...  In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 578-585.  ... 
dblp:conf/lrec/ArcoSLV20 fatcat:zx3qlklfq5eutpq46qvtaeugeq

Short Text Classification Using Deep Representation: A Case Study of Spanish Tweets in Coset Shared Task

Erfaneh Gharavi, Kayvan Bijari
2017 Annual Conference of the Spanish Society for Natural Language Processing  
Our model is trained based on deep vectorized representation of the tweets and an ensemble of different classifiers is used for Spanish tweet classification.  ...  In order to alleviate such issues, we have proposed a new topic identification method for Spanish tweets based on the deep representation of Spanish words.  ...  Acknowledgments The authors would like to thank the reviewers for providing helpful comments and recommendations which improve the paper significantly.  ... 
dblp:conf/sepln/GharaviB17 fatcat:lav3zvizmvby7ptz4q6afzrizq

Overview of TASS 2015

Julio Villena-Román, Janine García-Morera, Miguel Ángel García Cumbreras, Eugenio Martínez-Cámara, María Teresa Martín-Valdivia, Luis Alfonso Ureña López
2015 Annual Conference of the Spanish Society for Natural Language Processing  
Este artículo describe las tareas propuestas en TASS 2015, así como el contenido de los corpus utilizados, los participantes en las distintas tareas y los resultados generales obtenidos y el análisis de  ...  the Spanish Government, and AORESCU project (P11-TIC-7684 MO).  ...  Acknowledgements This work has been partially supported by a grant from the Fondo Europeo of Desarrollo Regional (FEDER), ATTOS (TIN2012-38536-C03-0) and Ciudad2020 (INNPRONTA IPT-20111006) projects from  ... 
dblp:conf/sepln/Villena-RomanGC15 fatcat:2od6sxnrfnfm3p4oqjgg4tlkei

Supervised polarity classification of Spanish tweets based on linguistic knowledge

David Vilares, Miguel Ángel Alonso, Carlos Gómez-Rodríguez
2013 Proceedings of the 2013 ACM symposium on Document engineering - DocEng '13  
We describe a system that classifies the polarity of Spanish tweets. We adopt a hybrid approach, which combines machine learning and linguistic knowledge acquired by means of nlp.  ...  We use part-of-speech tags, syntactic dependencies and semantic knowledge as features for a supervised classifier.  ...  , especially for their business intelligence and marketing departments.  ... 
doi:10.1145/2494266.2494300 dblp:conf/doceng/VilaresAG13 fatcat:3ii4mx6n2bg4hd7javgkyld4jq

What is on Social Media that is not in WordNet? A Preliminary Analysis on the TwitterAAE Corpus

Cecilia Domingo, Tatiana Gonzalez-Ferrero, Itziar Gonzalez-Dios
2021 Global WordNet Conference  
Natural Language Processing tools and resources have been so far mainly created and trained for standard varieties of language.  ...  In this work, we focus on English and we present a preliminary analysis by comparing the Twitter-AAE corpus, which is annotated for ethnicity, and WordNet by quantifying and explaining the online language  ...  Acknowledgments This work has been partially funded by the project DeepReading (RTI2018-096846-B-C21) supported by the Ministry of Science, Innovation and Universities of the Spanish Government, Ixa Group-consolidated  ... 
dblp:conf/wordnet/DomingoGG21 fatcat:xrf2f2vcxbeszfvafpww72bl6q

Negation Detection on Mexican Spanish Tweets: The T-MexNeg Corpus

Gemma Bel-Enguix, Helena Gómez-Adorno, Alejandro Pimentel, Sergio-Luis Ojeda-Trueba, Brian Aguilar-Vizuet
2021 Applied Sciences  
In this paper, we introduce the T-MexNeg corpus of Tweets written in Mexican Spanish. It consists of 13,704 Tweets, of which 4895 contain negation structures.  ...  The corpus was manually annotated with labels of negation cue, scope, and, event. We report the analysis of the inter-annotator agreement for all the components of the negation structure.  ...  for Spanish.  ... 
doi:10.3390/app11093880 doaj:aabcbb3275f84774a29fd5316c428436 fatcat:dzcyo2mp5fdajgnm7yz5zzbora

Fine-grained analysis of language varieties and demographics

Francisco Rangel, Paolo Rosso, Wajdi Zaghouani, Anis Charfi
2020 Natural Language Engineering  
In such cases, there is a need to know more about the anonymous users and this could be useful in several domains beyond security and forensics such as marketing, for example.  ...  We have also investigated the effect of the authors' age and gender on the identification of the different Arabic varieties, as well as the effect of the corpus size on the performance of our method.  ...  The statements made herein are solely the responsibility of the authors. References  ... 
doi:10.1017/s1351324920000108 fatcat:mdk2yxafbjffnhm5te3b7lscxe

Overview of MEX-A3T at IberLEF 2019: Authorship and Aggressiveness Analysis in Mexican Spanish Tweets

Mario Ezra Aragón, Miguel Ángel Álvarez Carmona, Manuel Montes-y-Gómez, Hugo Jair Escalante, Luis Villaseñor Pineda, Daniela Moctezuma
2019 Annual Conference of the Spanish Society for Natural Language Processing  
This track considers two tasks, author profiling and aggressiveness detection, both of them using Mexican Spanish tweets.  ...  For both tasks, we have built new corpora considering tweets from Mexican Twitter users. This paper compares and discusses the results of the participants.  ...  Acknowledgements Our special thanks go to all of MEX-A3T's participants.  ... 
dblp:conf/sepln/AragonCMEPM19 fatcat:mnvptnucgfhgbo24h3nzkrykki

Bots and Gender Profiling using a Deep Learning Approach

Jose R. Prieto Fontcuberta, Gretel Liz De la Peña Sarracén
2019 Conference and Labs of the Evaluation Forum  
The task consists in, given a tweets set, automatically determine whether its author is a bot or a human. In case of human, identify her/his gender.  ...  This paper describes the system we developed for the Bots and gender profiling task, at PAN @ CLEF 2019.  ...  The experimental results show the suitability of the used representation for the task, achieving 0.8578 of accuracy on the Spanish corpus and 0.9045 on the English corpus, on detecting bots vs human.  ... 
dblp:conf/clef/FontcubertaS19 fatcat:6it5hosykfgxxmknc7ufaim4my

Gender Recognition in Informal and Formal Language Scenarios via Transfer Learning [article]

Daniel Escobar-Grisales, Juan Camilo Vasquez-Correa, Juan Rafael Orozco-Arroyave
2021 arXiv   pre-print
Models are tested in two different databases consisting of Tweets and call-center conversations. Accuracies of up to 75\% are achieved for both databases.  ...  Recognition and identification of demographic traits such as gender, age, location, or personality based on text data can help to improve different marketing strategies.  ...  We would like to thank the Natural Language Engineering Laboratory of the Universidad Politécnica de Valencia for providing access to one of the the databases used in this work.  ... 
arXiv:2107.02759v1 fatcat:civkvza5sreaxkc52ommp5xqx4

Evaluation of Potential Spanish Text Markers on Social Posts as Features for Polarity Classification

Jorge Antonio Leoni de León, Edgar Casasola Murillo, Gabriela Marín Raventós
2017 CLEI Electronic Journal  
Evaluation of text marker obtained as a result of systematic analysis from a corpus over a second one allowed us to identify that emphasized positive words are strong indicators for positive text.  ...  Evaluation of the markers and its use as part of the feature extraction process from plain text that is needed for sentiment analysis is presented.  ...  A corpus made of 1,910,514 Spanish comments was used for potential marker quantification. Using this corpus potential lexical text markers are identified and count.  ... 
doi:10.19153/cleiej.20.1.5 fatcat:5tloxm5hkbe7tbp2eswd5lm574

Segmenting Target Audiences: Automatic Author Profiling using Tweets: Notebook for PAN at CLEF 2015

Mayte Giménez, Delia-Irazú Hernández, Ferran Plà
2015 Conference and Labs of the Evaluation Forum  
For those languages without lexicons, we automatically translated them, in order to be able to use this information.  ...  This paper describes a methodology proposed for author profiling using natural language processing and machine learning techniques. We used lexical information in the learning process.  ...  for Multimedia Analytics (MEC TIN2014-54288-C4-3-R).  ... 
dblp:conf/clef/GimenezHP15 fatcat:ylextuzbhfhhli3blmnhu5i5y4
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